ara-compiler

To convert a research PDF into structured knowledge, you can use an epistemic protocol that transforms the input into an Agent-Native Research Artifact. This process builds cognitive layers containing claims and concepts alongside physical layers with code stubs and grounded evidence.

An Agent-Native Research Artifact (ARA) is a structured, machine-executable knowledge format that organizes diverse research inputs. It enriches data by constructing cognitive layers with exploration graphs and heuristics, and physical layers with configurations and grounded evidence.

Yes, you can compile code repositories, logs, and notes into a machine-readable research artifact. The compilation process extracts claims and concepts to build a cognitive layer, while generating code stubs and configurations for the physical layer.

The knowledge extraction process supports both academic papers and codebase inputs, alongside logs and notes. It utilizes an epistemic protocol to validate and structure these diverse inputs into a unified artifact with distinct cognitive and physical layers.

The best way to structure complex research findings for automated decision-making is to compile them into an Agent-Native Research Artifact. This format uses an epistemic protocol to map claims, concepts, and heuristics into machine-executable cognitive and physical layers.